{"id":1059489,"date":"2025-06-30T02:51:45","date_gmt":"2025-06-30T09:51:45","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-job-opportunity&#038;p=1059489"},"modified":"2026-03-18T10:38:02","modified_gmt":"2026-03-18T17:38:02","slug":"research-intern-for-llm-reasoning","status":"publish","type":"msr-job-opportunity","link":"https:\/\/www.microsoft.com\/en-us\/research\/opportunity\/research-intern-for-llm-reasoning\/","title":{"rendered":"Research Intern for LLM Reasoning"},"content":{"rendered":"<strong>Position Title:<\/strong> Research Intern for LLM Reasoning\r\n<strong>Job Type:<\/strong> Full-time Intern\r\n<strong>Number of Openings:<\/strong> 2-4\r\n<strong>Location:<\/strong> Beijing\r\n\r\n<strong>Group Introduction:<\/strong>\r\n\r\nThe \u200b\u200bteam of RL Foundation for LLMs\u200b\u200b at \u200b\u200bMicrosoft Research Asia\u200b\u200b is dedicated to \u200b\u200bredefining the boundaries of reasoning capabilities in large language models (LLMs)\u200b\u200b through \u200b\u200bgroundbreaking research\u200b\u200b and \u200b\u200bengineering innovation\u200b\u200b. Our work focuses on three key areas:\r\n<ul>\r\n \t<li>\u200b\u200bFrontier Research\u200b\u200b: Investigating the \u200b\u200bfundamental mechanisms\u200b\u200b of LLM reasoning and advancing \u200b\u200balgorithmic breakthroughs\u200b\u200b<\/li>\r\n \t<li>\u200b\u200bSystems Engineering\u200b\u200b: Developing \u200b\u200bhigh-performance training strategies\u200b\u200b and \u200b\u200befficient systems\u200b\u200b<\/li>\r\n \t<li>\u200b\u200bEvaluation Framework\u200b\u200b: Establishing \u200b\u200breliable evaluation methodologies \u200b\u200b, defining \u200b\u200bnew metrics, scenarios, and environments\u200b\u200b for reasoning tasks<\/li>\r\n<\/ul>\r\n<strong>Job Responsibilities:<\/strong>\r\n<ol>\r\n \t<li>Participate in the research and development of algorithms to drive technological innovation.<\/li>\r\n \t<li>Design and implement models to solve real-world problems and improve performance.<\/li>\r\n \t<li>Conduct data analysis, model optimization, and deployment to enhance application effectiveness and stability.<\/li>\r\n<\/ol>\r\n<strong>Qualifications:<\/strong>\r\n<ol>\r\n \t<li>Bachelor\u2019s, Master\u2019s, or PhD in Computer Science, Software Engineering, Electronic Engineering, or other related fields.<\/li>\r\n \t<li>Solid foundation in data structures and algorithms.<\/li>\r\n \t<li>Excellent programming skills or relevant project experience.<\/li>\r\n \t<li>Quick learning ability.<\/li>\r\n \t<li>Proficiency in using English as a working language.<\/li>\r\n \t<li>Strong communication skills and team collaboration spirit.<\/li>\r\n \t<li>Written consent from your academic advisor.<\/li>\r\n<\/ol>\r\n<strong>Internship Duration Requirements:<\/strong>\r\n\r\nMust obtain permission from your academic advisor and commit to at least three months of internship.\r\n\r\nPlease be sure to download and complete the application form (Application form link: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/aka.ms\/InternApplication\">https:\/\/aka.ms\/InternApplication<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> ) and send it along with a complete English and Chinese resume (in PDF\/Word format) to: <a href=\"mailto:MSRAih@microsoft.com\">MSRAih@microsoft.com<\/a> & <a href=\"mailto:XXX@microsoft.com\">shun.zheng@microsoft.com<\/a>. Please include &#8220;Research Intern for LLM Reasoning&#8221; in the email subject line.\r\n\r\n&nbsp;\r\n\r\n<strong>\u5c97\u4f4d\u540d\u79f0\uff1a<\/strong>LLM Reasoning\u7814\u7a76\u5b9e\u4e60\u751f\r\n<strong>\u5de5\u4f5c\u6027\u8d28\uff1a<\/strong>\u5168\u804c\u5b9e\u4e60\u751f\r\n<strong>\u62db\u8058\u4eba\u6570\uff1a<\/strong>2-4\u4eba\r\n<strong>\u5de5\u4f5c\u5730\u70b9\uff1a<\/strong>\u5317\u4eac\r\n\r\n<strong>\u7ec4\u522b\u7b80\u4ecb\uff1a<\/strong>\r\n\r\n\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662RL Foundation for LLMs\u56e2\u961f\u81f4\u529b\u4e8e\u901a\u8fc7\u57fa\u7840\u7814\u7a76\u7a81\u7834\u4e0e\u5de5\u7a0b\u5b9e\u8df5\u7684\u7ed3\u5408\uff0c\u91cd\u65b0\u5b9a\u4e49\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u8fb9\u754c\u3002\u6211\u4eec\u91cd\u70b9\u5173\u6ce8\u4ee5\u4e0b\u6838\u5fc3\u65b9\u5411\uff1a\r\n<ul>\r\n \t<li>\u524d\u6cbf\u63a2\u7d22\uff1aLLM Reasoning\u7684\u5e95\u5c42\u673a\u7406\u4e0e\u7b97\u6cd5\u521b\u65b0<\/li>\r\n \t<li>\u7cfb\u7edf\u5de5\u7a0b\uff1a\u9ad8\u6027\u80fd\u6a21\u578b\u8bad\u7ec3\u4e0e\u63a8\u7406\u7cfb\u7edf\u5b9e\u73b0<\/li>\r\n \t<li>\u8bc4\u4f30\u4f53\u7cfb\uff1a\u5ba2\u89c2\u8bc4\u4f30\u6a21\u578b\u80fd\u529b\uff0c\u5b9a\u4e49\u65b0\u6307\u6807\u3001\u573a\u666f\u3001\u73af\u5883\u7b49<\/li>\r\n<\/ul>\r\n<strong>\u5de5\u4f5c\u804c\u8d23\uff1a<\/strong>\r\n<ol>\r\n \t<li>\u53c2\u4e0e\u7b97\u6cd5\u7684\u7814\u7a76\u4e0e\u5f00\u53d1\uff0c\u63a8\u52a8\u6280\u672f\u521b\u65b0<\/li>\r\n \t<li>\u8bbe\u8ba1\u548c\u5b9e\u73b0\u6a21\u578b\uff0c\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff0c\u63d0\u5347\u6027\u80fd<\/li>\r\n \t<li>\u8fdb\u884c\u6570\u636e\u5206\u6790\u3001\u6a21\u578b\u4f18\u5316\u548c\u90e8\u7f72\uff0c\u63d0\u9ad8\u5e94\u7528\u7684\u6548\u679c\u548c\u7a33\u5b9a\u6027<\/li>\r\n<\/ol>\r\n<strong>\u4efb\u804c\u8981\u6c42\uff1a<\/strong>\r\n<ol>\r\n \t<li>\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8f6f\u4ef6\u5de5\u7a0b\u3001\u7535\u5b50\u5de5\u7a0b\u6216\u5176\u5b83\u76f8\u5173\u4e13\u4e1a\uff08\u672c\u79d1\/\u7855\u58eb\/\u535a\u58eb\uff09<\/li>\r\n \t<li>\u624e\u5b9e\u7684\u6570\u636e\u7ed3\u6784\/\u7b97\u6cd5\u57fa\u7840<\/li>\r\n \t<li>\u5177\u6709\u4f18\u79c0\u7684\u7f16\u7a0b\u80fd\u529b\u6216\u76f8\u5173\u7684\u9879\u76ee\u7ecf\u9a8c<\/li>\r\n \t<li>\u5feb\u901f\u5b66\u4e60\u80fd\u529b<\/li>\r\n \t<li>\u53ef\u4ee5\u719f\u7ec3\u4f7f\u7528\u82f1\u6587\u4f5c\u4e3a\u5de5\u4f5c\u8bed\u8a00<\/li>\r\n \t<li>\u5177\u6709\u826f\u597d\u7684\u6c9f\u901a\u80fd\u529b\u548c\u56e2\u961f\u534f\u4f5c\u7cbe\u795e<\/li>\r\n \t<li>\u80fd\u5f97\u5230\u5bfc\u5e08\u7684\u4e66\u9762\u540c\u610f<\/li>\r\n<\/ol>\r\n<strong>\u5de5\u4f5c\u65f6\u95f4\u8981\u6c42\uff1a<\/strong>\r\n\r\n\u80fd\u83b7\u5f97\u5bfc\u5e08\u8bb8\u53ef\u5e76\u4fdd\u8bc1\u81f3\u5c11\u4e09\u4e2a\u6708\u7684\u5b9e\u4e60\u3002\r\n\r\n\u8bf7\u52a1\u5fc5\u4e0b\u8f7d\u5e76\u586b\u5199\u7533\u8bf7\u8868\uff08\u7533\u8bf7\u8868\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/aka.ms\/InternApplication\">https:\/\/aka.ms\/InternApplication<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> \uff09\u5e76\u5c06\u5176\u4e0e\u5b8c\u6574\u7684\u4e2d\u82f1\u6587\u7b80\u5386\uff08PDF\/Word\u5f62\u5f0f\uff09\u4e00\u540c\u53d1\u9001\u81f3\uff1a<a href=\"mailto:MSRAih@microsoft.com\">MSRAih@microsoft.com<\/a> & <a href=\"mailto:shun.zheng@microsoft.com\">shun.zheng@microsoft.com<\/a>\uff0c\u90ae\u4ef6\u6807\u9898\u4e2d\u6ce8\u660e\uff1aLLM Reasoning\u7814\u7a76\u5b9e\u4e60\u751f\u3002\r\n\r\n\u4e86\u89e3\u66f4\u591a\u201c\u660e\u65e5\u4e4b\u661f\u5b9e\u4e60\u751f\u8ba1\u5212\u201d\uff0c\u8bf7\u8bbf\u95ee\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/tomorrowstars-zh-cn\/\">\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u201c\u660e\u65e5\u4e4b\u661f\u201d\u5b9e\u4e60\u751f\u9879\u76ee &#8211; Microsoft Research<\/a>","protected":false},"featured_media":0,"parent":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_opportunity_details":{"preferred_date":"","date_type":"preferred_date","featured":"","hide_legal_copy":""},"msr_opportunity_pubdate":"2024-07-20","msr_hidden_opportunity":false,"msr_opportunity_poc":{"name":"","email":"","phone":""},"msr_opportunity_hta":"","msr_opportunity_external_link":"no","msr_opportunity_legal_copy":"","msr-author-ordering":[],"footnotes":""},"research-area":[13556],"msr-region":[197903,256048],"msr-job-opportunity-type":[234821],"msr-city":[243628],"msr-locale":[268881],"msr-program-audience":[243724],"msr-impact-theme":[],"class_list":["post-1059489","msr-job-opportunity","type-msr-job-opportunity","status-publish","hentry","msr-research-area-artificial-intelligence","msr-region-asia-pacific","msr-region-global","msr-job-opportunity-type-internship","msr-city-beijing-china","msr-locale-zh_cn","msr-program-audience-students"],"msr_opportunity_cta":"","msr_opportunity_subdate":"","msr_opportunity_subdate_type":"preferred","msr_opportunity_pubdate":"2024-07-20","msr_opportunity_legal_copy":"","msr_opportunity_poc":{"name":"","email":"","phone":""},"msr_opportunity_type":["Internship"],"msr_research_lab":[199560,1012650],"related-researchers":[],"msr_impact_theme":[],"related-groups":[269241],"related-projects":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-job-opportunity\/1059489","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-job-opportunity"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-job-opportunity"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-job-opportunity\/1059489\/revisions"}],"predecessor-version":[{"id":1164348,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-job-opportunity\/1059489\/revisions\/1164348"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1059489"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1059489"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=1059489"},{"taxonomy":"msr-job-opportunity-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-job-opportunity-type?post=1059489"},{"taxonomy":"msr-city","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-city?post=1059489"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1059489"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=1059489"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1059489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}